qachat.py

from dotenv import load_dotenv

load_dotenv()

import streamlit as st
import os
import google.generativeai as genai

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# Function to load Gemini Pro Model and get response
model = genai.GenerativeModel("gemini-pro")
chat = model.start_chat(history=[])


def get_gemini_responses(question):
    return chat.send_message(question, stream=True)


# Initialize our streamlit app

st.set_page_config(page_title="Q&A Demo")
st.header("Gemini LLM Application")

# Initialize session state for chat history if it doesn't exist
if 'chat_history' not in st.session_state:
    st.session_state['chat_history'] = []

input = st.text_input("Input:", key='input')
submit = st.button("Ask the question")

if submit and input:
    response = get_gemini_responses(input)
    # Add user query and response to session chat history
    st.session_state['chat_history'].append(("You", input))
    st.subheader("The response is:")
    for chunk in response:
        st.write(chunk.text)
        st.session_state['chat_history'].append(("Bot", chunk.text))
st.subheader("The Chat history is:")

for role, text in st.session_state['chat_history']:
    st.write(f"{role}: {text}")